Cinch is in public alpha.
Cost Optimization
You're renting RAM by the hour for data that hasn't been read in weeks. NVMe and cloud storage cost 20-50x less. Cinch uses them instead.
The storage hierarchy your database ignores
| Tier | Storage | $/GB/mo | vs. RAM |
|---|---|---|---|
| Hot | RAM | $10 | baseline |
| Active | NVMe | $0.50 | 95% cheaper |
| Sleeping | Cloud storage | $0.20 | 98% cheaper |
Redis, Postgres, and Mongo keep everything in RAM or treat disk as a second-class citizen. That made sense when databases were monolithic. It doesn't make sense when you have hundreds of them and most are idle.
Two levers, compounding savings
- 1. Active databases use NVMe, not RAM. $0.50/GB instead of $10/GB. A tunable RAM buffer keeps hot keys fast while the bulk sits on disk.
- 2. Idle databases archive to cloud storage. $0.20/GB. No server running, no CPU. Just a file sitting in storage until someone needs it.
If 80% of your databases are idle at any given time, that's an 85-90% reduction in your database bill. You still use the same Redis commands, SQL queries, and Cypher. The only thing that changes is the price.
A concrete example
You run a SaaS with 200 customer databases, 1GB each. On RDS, that's 200 instances or one big cluster — either way you're looking at $5,000-10,000/mo.
On Cinch: 40 active databases at $0.50/GB = $20/mo. 160 idle databases at $0.20/GB = $32/mo. Total: $52/mo. Same data, same protocols.
Stop paying for idle data
Active prices for active work. Everything else archives automatically.
GET STARTED →